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The width of the confidence interval expands more when the confidence level increases. In addition, the sample size and the variability also influence the width of the confidence interval. The confidence intervals illustrate how much the average value is expected to change. Furthermore, they provide the accuracy and position of a measure. One way to calculate confidence intervals is by using sample sizes. Intervals can overlap to as much as 25% and when they don't overlap you can be 95% confident that there is a variation.